AI Engineering
Discover insights and updates from Vector Institute’s AI Engineering team as they translate cutting-edge research into practical applications, develop open source tools, and tackle real-world AI implementation challenges. Our engineering blog showcases the technical work that bridges academic discovery with industry-ready solutions.
From research to real-world application
Vector’s AI Engineering team transforms breakthrough research into practical tools, frameworks, and solutions that organizations can implement. These insights provide behind-the-scenes looks at technical challenges, innovative solutions, and the engineering approaches that make AI research actionable across industries.
Latest AI Engineering updates
When AI Meets Human Matters: Evaluating Multimodal Models Through a Human-Centred Lens – Introducing HumaniBench
State of Evaluation Study: Vector Institute Unlocks New Transparency in Benchmarking Global AI Models
Principles in Action: Introducing the Vector Institute’s Playbook for Responsible AI Product Development
AI Systems: evaluation, modeling & benchmarking
Vector’s AI Engineering team has developed tools, including a framework that puts the principles into practice to guide the integration of AI into products. Check out some of our other open source solutions and resources below for both AI researchers and practitioners across sectors.
Stay updated on AI Engineering
Get the latest technical insights, engineering updates, implementation stories, and open source releases from Vector’s AI Engineering team.